Search Results - evaluation of algorithm’s innovation

Analysis of disease severity and mortality prediction using machine learning during COVID-19 by Hodjat (Hojatollah) Hamidi, Mostafa Moradi

“…This paper focuses on how machine learning (ML) algorithms and applications have been used to analyze disease severity and mortality prediction in COVID-19 research. …”
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Big Data Analysis Using Apache Spark MLlib and Hadoop HDFS with Scala and Java by Hoger Khayrolla Omar, Alaa Khalil Jumaa

“…In this paper, some comparisons are presented about the time performance evaluation among Scala and Java in apache spark MLlib. …”
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AI-aided short-term decision making of rockburst damage scale in underground engineering by Chukwuemeka Daniel, Shouye Cheng, Xin Yin, Zakaria Mohamed Barrie, Yucong Pan, Quansheng Liu, Feng Gao, Minsheng Li, Xing Huang

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Large Language Models in Medical Chatbots: Opportunities, Challenges, and the Need to Address AI Risks by James C. L. Chow, Kay Li

“…These include hallucinations (the generation of factually incorrect or misleading content by an AI model), algorithmic biases, privacy risks, and a lack of regulatory clarity. …”
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A new format of bachelors’ final state certification in the field of training «Library-information activity»: a development technology by G. M. Bragina, A. Sh. Merkulova

“…The 3rd generation Federal Educational Standard requirements necessitate innovations in organizing and carrying out bachelors’ SFC, in particular, evaluation of their training quality based on a competence approach. …”
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Geoinformation monitoring of the educational risk in educational institutions of higher education by Aleksandr N. Kolesenkov, Dmitry S. Zhuravlyov

“…According to the results of the work, it is revealed that the use of geoinformation technologies increases the efficiency of management by the collection automation, processing and analysis of data on the implementation of educational programs.Modern geoinformation technologies provide the opportunity to create and integrate a system that has innovative analytical functionality, and implements new effective technologies, methods and algorithms in the tasks of monitoring the educational programs. …”
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PD-L1 expression predicts the efficacy of PD-1 blockade plus chemotherapy versus chemotherapy alone in treatment-naïve advanced or metastatic gastric cancer: a pooled analysis of r... by Wei Zhou, Zeng-Zhi Cai, Zhuolin Fan, Xu Zheng, Yu-Tong Chen

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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…In these diversified test scenarios, the improved TD3 algorithm exhibits remarkable adaptability and stability. …”
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An improved hybrid approach involving deep learning for urban greening tree species classification with Pléiades Neo 4 imagery—A case study from Nanjing, Eastern China by Min Sun, Stephane G.P. Debulois, Zhengnan Zhang, Xiaolei Cui, Zhili Chen, Mingshi Li

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Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review by Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian

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Tribological Performance Enhancement in FDM and SLA Additive Manufacturing: Materials, Mechanisms, Surface Engineering, and Hybrid Strategies—A Holistic Review by Raja Subramani, Ronit Rosario Leon, Rajeswari Nageswaren, Maher Ali Rusho, Karthik Venkitaraman Shankar

“…Further, the review highlights the growing use of finite element modeling, digital twins, and machine learning algorithms for predictive control of tribological performance at AM parts. …”
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Prevalence, risk factors, prediction of robust callus formation and accelerated fracture healing in traumatic brain injury patients: a five-year study by Zheyu Jin, Jiechen Chen, Zhengming Shan, Weiyang Liu, Zhenkang Wen, Hongwei Shao, Tongzhou Liang, Ziyi Chen, Xuesong Ren, Dianhui Tan, Ling Qin, Jun Hu, Jiankun Xu

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Concerning the Use of Indicators’ Marginal (Threshold) Values of the Russian Federation Economic Security by A. B. Vissarionov, R. R. Gumerov

“…In conclusion, the article substantiates a multistage algorithm for analyzing and assessing the values of economic security indicators.…”
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Methods for Designing Technologies of Organic Crop Production by A. M. Zakharov, A. A. Ustroev, E. A. Murzaev, A. D. Komoedov

“…The first phase of this algorithm involves analyzing soil-climatic and economic conditions. …”
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Secure Smart Contract Based on Blockchain to Prevent the Non-Repudiation Phenomenon by Noor Sabah Mohammed, Omar Abdulrahman Dawood, Ali Makki Sagheer, Ahmed Adil Nafea

“…Experiments showed us the complexity of time and cost when using the (ECC) algorithm and using (RSA) algorithm depending on the size and length of the key. …”
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A comprehensive review on YOLO versions for object detection by Ayşe Aybilge Murat, Mustafa Servet Kiran

“…At the same time, in most of the previous studies on YOLO, a comprehensive comparison of the YOLOv9-v11 models is not presented and new architectural features are not evaluated. This review provides an in-depth analysis of the main versions from YOLOv1 to YOLOv11, including recent innovations such as NMS-free, Oriented Bounding Boxes (OBB), GELAN and PGI. …”
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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

“…A region-based similarity measurement enhances matching percentages. Results, evaluated on high-resolution remote sensing datasets, demonstrate the effectiveness of the proposed method, outperforming traditional algorithms with an average accuracy of 86.66%. …”
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Addressing the Ethical, Legal, and Social Issues of Healthtech in Education: Insights From Japan by Motofumi Sumiya, Tomoko Nishimura, Kyoko Aizaki, Ikue Hirata, Nobuaki Tsukui, Yuko Osuka, Manabu Wakuta, Atsushi Senju

“…This study highlights the need for multistakeholder collaboration to establish guidelines that balance innovation with ethical responsibility. The study underscores the need for a multifaceted approach to mitigate risks such as data misuse, inequitable access, and algorithmic bias, ensuring the ethical and effective use of healthtech in education. …”
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Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development by Jung-Hoon Sul, Lasitha Piyathilaka, Diluka Moratuwage, Sanura Dunu Arachchige, Amal Jayawardena, Gayan Kahandawa, D. M. G. Preethichandra

“…Various EMG acquisition methods, including surface, intramuscular, and high-density surface EMG, are evaluated for their applicability in real-time control. …”
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Interleaved Landsman Converter with Class Topper Optimized PI Control in Sensorless BLDC Motor Drive for Electric Vehicle by Suresh V., Jahnavi V.G., Manjula D., Lokesh M.

“…The significance of obtained results is the potential to revolutionize EV motor drive systems by offering an innovative, highly efficient, and scalable solution. …”
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